Projects sharing features with Pytrends

This project is a programmatic client for managing the lifecycle of documents within a distributed JSON search engine. It provides an Elasticsearch search client for indexing documents and performing complex queries, alongside a low-level client that acts as a flexible wrapper for sending raw HTTP requests to a cluster. The client features a fluent request builder that maps typed requests to REST API endpoints and a generic mapping layer to transform JSON responses into strongly typed objects. It employs a pluggable serialization mechanism to decouple the request-response lifecycle from speci

JSONExport is a multi-language code generator and JSON schema converter that transforms JSON data structures into strongly typed source code classes. It serves as an API response mapper, converting JSON objects into data transfer objects to automate the creation of model classes. The tool specializes in multi-language model synthesis, allowing users to define data models across different programming languages using a single JSON input. It generates class boilerplate, including constructors and accessors, and provides a preview pipeline to review the resulting source code before it is saved.

YouTube.js is a JavaScript library and API wrapper designed to interact with the internal YouTube InnerTube API. It functions as a client for retrieving video data and service states, while parsing raw internal API responses into typed objects for data extraction and manipulation. The project includes a stream resolver capable of decoding obfuscated streaming addresses and implementing proprietary video delivery protocols. It employs a custom interpreter to execute obfuscated external logic required to resolve dynamic data and manage video buffers. The library provides an environment-agnosti

leek-fund is a financial market extension for VSCode that enables the monitoring of real-time pricing data for stocks, funds, and futures directly within the editor status bar. It functions as a market data dashboard and portfolio tracker, allowing users to manage investment portfolios and track global exchange price fluctuations without leaving their workspace. The project distinguishes itself by integrating an AI market analyst to process investment information and interpret market trends. It further incorporates a financial news aggregator that streams real-time market alerts and social up

This project is an unauthenticated web scraper designed to extract public data from the Twitter frontend API. It functions as a social media data extractor that simulates browser requests to gather information without the need for official API keys or user account authentication. The tool provides capabilities for gathering public posts, harvesting user profile metadata such as biographies and locations, and retrieving trending topics categorized by geographical region. It can perform targeted content scraping based on specific usernames, hashtags, or search queries. The system manages data

This project is an automated cryptocurrency trading platform for the Binance exchange. It functions as a technical analysis trading tool and grid trader, executing strategies and managing assets without manual intervention. The platform is distinguished by its multi-service containerized architecture, which orchestrates a listener, cache, and database. It utilizes a secure web dashboard for monitoring active trades and adjusting bot parameters, protected by password and token-based authentication. The system covers a broad range of trading capabilities, including grid and trailing order auto

WechatSogou is a Python library that provides a programmatic bridge to WeChat content by scraping Sogou's search engine results. It resolves WeChat account profile pages to article lists, filters trending articles by predefined categories, and manages browser-like cookie sessions to maintain authenticated access. The library parses raw HTML to extract article metadata, account details, and keyword suggestions, while dynamically adjusting request frequency to avoid IP blocking. The project offers capabilities for searching WeChat public accounts and articles by keyword, returning profile detai

Twikit is a Python library and API wrapper designed for interacting with X (Twitter). It simulates browser requests and mimics private network traffic to enable programmatic access to the platform without requiring an official API key. The project focuses on social media automation and data extraction, featuring tools for scraping user profiles, trending topics, and chronological tweet histories. It includes a session manager that handles user authentication, two-factor authentication, and cookie persistence to maintain active account access. The library's capabilities cover a broad range of

Instructor is a library designed to parse, validate, and map unstructured language model responses into strongly typed, schema-compliant data objects. It provides a framework for structured data extraction that uses data modeling classes to enforce strict type constraints on model outputs, ensuring that generated content consistently matches expected structures. The library distinguishes itself through an automated error recovery system that manages the lifecycle of failed extraction attempts. When a model output fails to meet defined schema requirements, the framework automatically triggers

This library is a type-safe Kotlin framework designed for building automated messaging services on the Telegram platform. It provides a comprehensive toolkit for developers to create interactive bots that handle incoming updates, manage chat interactions, and execute automated workflows on the JVM. By abstracting the underlying network communication, the library allows for the development of sophisticated messaging applications using native language features. The framework distinguishes itself through a functional approach to API interaction, utilizing algebraic data types to represent succes

This project is a Python wrapper for the Lightweight Charts library, designed to render interactive, browser-based financial visualizations. It serves as a framework for building custom financial dashboards and interfaces that integrate live market feeds and historical data series. The library enables the construction of complex layouts by combining multi-pane charts, watchlists, and order entry tables into a single unified workspace. It supports real-time market monitoring by streaming live tick or bar data directly into active visualizations, allowing for incremental updates without requiri

RxJavaSamples is a collection of reference implementations and practical guides for applying reactive patterns to asynchronous networking and state management. It provides code demonstrations for integrating reactive streams with Retrofit to handle network requests in a non-blocking manner. The project focuses on asynchronous patterns for managing API calls, including the combination of concurrent streams and the use of subjects to cache emitted values for state management. It specifically demonstrates how to implement automated token refresh workflows to maintain authenticated sessions witho

This project is a containerized search infrastructure designed to deploy a privacy-focused metasearch engine. It acts as a self-hosted search proxy that aggregates results from multiple external web, image, and academic search providers while anonymizing requests and stripping trackers to protect user identity. The system utilizes Docker to orchestrate the search instance, integrating caching mechanisms and reverse proxy support to ensure a private and efficient search environment. It employs a modular adapter-based integration to standardize diverse external API responses and a processing pi

This project is a multi-purpose REST API utility collection and developer suite. It serves as a centralized service for real-time information aggregation, data transformation, and a wide array of programmatic tools. The service distinguishes itself by providing a broad range of specialized content delivery endpoints, from curated daily summaries and global trending rankings to randomized entertainment content like jokes and quotes. It also functions as a real-time aggregator for environmental and network data, including weather forecasts, currency exchange rates, and public IP lookups. The c

EasyWeChat is a PHP software development kit and API wrapper designed to integrate WeChat services into PHP applications. It functions as a social platform integration kit that provides a unified interface for communicating with external service APIs. The library provides specialized tools for managing WeChat Official Accounts, implementing WeChat Payment processing, and developing the backend logic for WeChat Mini Programs. The SDK utilizes a service-layered architecture to separate high-level business logic from low-level HTTP communication. This includes a middleware-driven request pipeli

This project is an automated cryptocurrency trading platform and server-side framework designed for executing trades and managing digital asset portfolios. It provides a unified environment for running algorithmic strategies across multiple exchanges, allowing for the automated placement of buy and sell orders without manual intervention. The system distinguishes itself through a modular plugin architecture that separates trading logic from core execution, enabling users to customize or swap algorithms as needed. It utilizes an event-driven execution loop that processes real-time market data

This project is a high-performance C++ trading engine designed for automated cryptocurrency market making and high-frequency trading. It functions as a liquidity provision tool that executes rapid order adjustments and quote placements to capture the bid-ask spread. The system utilizes a fair-value pricing model to estimate target asset prices based on real-time exchange data. It features a self-hosted trading dashboard that provides a web interface for monitoring portfolio holdings, visualizing market metrics, and manually controlling automated trading instances. The software includes capab

Valuecell is an artificial intelligence financial trading platform and market analysis engine. It functions as a multi-exchange trading bot and financial data orchestrator, designed to analyze market data and execute automated trades across global financial exchanges. The system utilizes a modular agent plugin framework that allows for the integration of third-party tools and agents through a shared community registry. It incorporates a retrieval-augmented generation approach to analyze fundamental financial documents and historical patterns, grounding AI responses in factual data. The platf

This project is a quantitative trading platform and algorithmic trading bot designed for market data aggregation, strategy backtesting, and trade execution. It functions as a comprehensive system for collecting financial data via APIs and web sources, simulating investment strategies against historical records, and programmatically managing investment positions through brokerage interfaces. The platform distinguishes itself through institutional sentiment analysis and market intelligence tools. It monitors institutional fund activity, tracks corporate actions like equity pledges, and crawls f

tqsdk-python is a quantitative trading SDK and framework designed for developing automated strategies for futures, options, and stocks using Python. It functions as an algorithmic trading engine and financial market data API, providing the tools necessary to backtest strategies, analyze historical data, and execute live trades across multiple brokerage accounts. The project distinguishes itself through a specialized option analytics library that calculates Greeks, implied volatility, and volatility surfaces using the Black-Scholes model. It further supports complex order execution patterns, s

AkShare is a Python financial data library and programmatic interface designed for fetching real-time and historical stock, currency, and economic market data. It serves as a quantitative data acquisition tool for gathering the large-scale financial datasets required for economic research and quantitative analysis. The library provides a unified interface to retrieve datasets from various official and commercial providers, removing the need to write custom scrapers for individual financial sources. It maps standardized function calls to diverse third-party sources to normalize varying respons

This library is a Python-based tool for retrieving historical and real-time financial market data from public sources. It functions as a programmatic interface for downloading stock prices, dividends, financial statements, and corporate calendars, allowing users to perform automated research and analysis on various market assets. The project distinguishes itself by structuring retrieved financial time series directly into tabular data frames, which facilitates mathematical analysis and manipulation of market metrics. It supports efficient data retrieval through multi-threaded batch downloadin

This project is a strongly-typed GraphQL client library and code generator designed for Android, JVM, and Kotlin Multiplatform. It provides a toolset for executing queries and mutations, generating immutable classes and parsers from GraphQL schemas to ensure compile-time type safety. The library features a normalized client-side caching system that flattens server responses into a lookup table to maintain a single source of truth. It includes a specialized subscription client for handling real-time server-side updates via WebSockets or Server-Sent Events, and a mocking framework for simulatin

This project is an automated trading and agentic workflow platform designed to orchestrate complex financial tasks through state-based graphs. It provides a comprehensive framework for building, deploying, and managing autonomous agents that execute multi-step analytical processes, monitor real-time market conditions, and perform high-speed trade execution. The platform distinguishes itself through a robust agentic plugin ecosystem that integrates directly with popular AI-powered development environments and command-line interfaces. It features a specialized financial analysis engine capable

Tushare is a financial data library for the Python programming environment that provides access to historical and real-time market information. It functions as a data interface for retrieving stock trading records, corporate financial statements, and macroeconomic indicators to support quantitative analysis and research. The library distinguishes itself by automatically transforming raw API responses into tabular data structures, allowing for direct integration with data analysis workflows. It manages access to these datasets through token-based authentication and utilizes schema-mapped parsi

This project is a modular, terminal-based dashboard framework designed to aggregate and display real-time information within a grid-aligned interface. It functions as a centralized monitoring tool that translates data from local system resources, infrastructure services, and external web APIs into a unified, text-based display. The dashboard is distinguished by its plugin-based architecture, which allows users to encapsulate distinct data sources and display logic into isolated, independently managed modules. Users define their workspace through declarative configuration files or an interacti

Maxun is an open-source web scraping and automation platform designed to transform dynamic website content into structured data. By leveraging artificial intelligence to interpret natural language prompts, the system identifies page elements and extracts information without requiring manual selector configuration. It serves as a bridge between raw web content and intelligent workflows, providing structured outputs in formats optimized for large language model ingestion and agent-based applications. The platform distinguishes itself through its ability to handle complex, authenticated, and dyn